QA Engineer

Há 5 dias

Porto Alegre, Rio Grande do Sul, Brasil AgileEngine Tempo inteiro
Overview

QA Engineer (EST hours) – AgileEngine. AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in application development and AI/ML, and our people-first culture has earned Best Place to Work awards.

Why join us: If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

What you will do
  • Design and execute both automated and manual end-to-end test strategies across all layers of the testing pyramid
  • Validate AI model performance, including accuracy, confidence thresholds, and fallback behavior
  • Automate quality processes from data ingestion to extraction and classification, focusing on speed, repeatability, and resilience
  • Test and validate integration points between AI components and core business logic
  • Support and enhance CI/CD pipelines by maintaining test infrastructure and defining quality gates, automated scripts, and synthetic data
  • Define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates)
  • Stay on the cutting edge—continuously learn and apply the latest AI and QA practices
Must have
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
  • 3+ years of experience in QA, Test Engineering, or related roles with a strong grasp of QA methodologies
  • Solid understanding of SDLC, Agile methodologies, and software quality principles
  • Hands-on experience with automation frameworks like Pytest, Selenium, Cypress, Postman
  • Comfortable working with REST APIs, data pipelines, and backend services
  • Familiarity with cloud platforms (AWS or Azure) and CI/CD tools
  • Detail-oriented mindset with a sharp eye for edge cases and a strong sense of ownership
  • Quick, proactive learner—especially important in the fast-evolving world of AI
  • Upper-Intermediate English level
Nice to have
  • Experience testing AI/ML systems in production environments
  • Familiarity with GenAI model evaluation metrics
  • Experience setting up monitoring/alerting for model drift, workflow failures, or performance issues
Perks and Benefits
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
  • Competitive compensation: We match your ever-growing skills with competitive USD-based compensation and budgets for education, fitness, and team activities
  • A selection of exciting projects: Work on projects with modern solutions and top-tier clients including Fortune 500 enterprises
  • Flextime: Flexible schedule with options to work from home or office
Location & Status
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Industry: IT Services and IT Consulting

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